For consumers and organizations it is not about mobile devices, but about new ways to access information, engage in conversation and interact with brands, services and their environment.
For Ogilvy, Mobile accelerates our programs, campaigns and platforms by augmenting it with utility, immediacy and contextuality. This presentation from OgilvyOne and OgilvyAction is a complimentary piece to the whitepaper.
2. For consumers and organiza0ons it is not
about mobile devices, but about new ways
to access informa,on, engage in
conversa,on and interact with brands,
services and their environment.
For Ogilvy, Mobile accelerates our programs,
campaigns and pla;orms by augmen0ng it
with u,lity, immediacy and contextuality.
2
6. “In a December survey conducted for the NRF, about 11 percent of
shoppers said they had used a smart phone for holiday shopping.
Of those who did, 26 percent made a purchase, 34 percent read
product reviews and 60 percent browsed for giFs on their phones.“
60% of 11% is 6.6%
34% of 11% is 3.7%
26% of 11% is 2.8%
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7. Clearing the Fog‐
Today’s Reality
“The consumer is blissfully unaware and does not really have
any requirements”
‐ Maarten Albarda, Anheuser‐Busch / Inbev
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9. Adop,on of Mobile Services ‐
an Ogilvy Research
5% 15% 30% 30% 20%
Innovators Opinion Early Late Laggards
Leaders Majority Majority
Source: OgilvyOne and OgilvyAction Global Mobile Retail Study, March 2011, n=1,500,
United States, United Kingdom, Singapore; Base: United States, n=500
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10. Early Adop,on
Blackberry Next Tag
Android Red Laser
Being Social Gilt Group
Mydailydeal Coupon Sherpa
Yelp RoVen Tomatoes
Epinions Tweeted nega0vely about brand
Zappos
Innovators
Source: OgilvyOne and OgilvyAction Global Mobile Retail Study, March 2011, n=1,500,
United States, United Kingdom, Singapore; Base: United States, n=500
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11. Opinion Leader
Own iPhone Searched Google from store
Intend to buy Kindle for product info
CitySearch Scanned QR or barcode
TwiVer Shopped at retail then bought
LinkedIn online
Bizrate Asked store to match price
shown phone
Opinion
Leaders
Penetration >25% & <20% in next group
Source: OgilvyOne and OgilvyAction Global Mobile Retail Study, March 2011, n=1,500,
United States, United Kingdom, Singapore; Base: United States, n=500
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12. Early Main Stream
Own smartphone
Likely to buy iPad
Coupons via text message
Groupon
Early
Majority
Source: OgilvyOne and OgilvyAction Global Mobile Retail Study, March 2011, n=1,500,
United States, United Kingdom, Singapore; Base: United States, n=500
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13. Broad Adop,on
Become a fan of a brand on Facebook
Asked store to match a price from a
printout
Use Consumer Reports online
Late
Majority
Source: OgilvyOne and OgilvyAction Global Mobile Retail Study, March 2011, n=1,500,
United States, United Kingdom, Singapore; Base: United States, n=500
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14. Universal
Facebook
Ebay
Craig’s List
Amazon
PayPal
Shopped retail then bought online
Phoned from store for opinion
Laggards
Source: OgilvyOne and OgilvyAction Global Mobile Retail Study, March 2011, n=1,500,
United States, United Kingdom, Singapore; Base: United States, n=500
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15. Mobile following online
LOOKED THEN BOUGHT LOOKED THEN BOUGHT
ON PHONE ONLINE
Innovators Opinion Early Late Laggards
Leaders Majority Majority
LOOKED AT A PRODUCT IN STORE AND THEN BOUGHT ONLINE
85% 74% 66% 54% 29%
LOOKED AT A PRODUCT IN STORE AND THEN BOUGHT ON PHONE
71% 27% 8% 1% 0%
Source: OgilvyOne and OgilvyAction Global Mobile Retail Study, March 2011, n=1,500,
United States, United Kingdom, Singapore; Base: United States, n=500
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16. Crossing the Chasm
Trusted?
Learned?
Needed?
Simplifying?
Innovators Opinion Early Late Laggards
Leaders Majority Majority
Source: OgilvyOne and OgilvyAction Global Mobile Retail Study, March 2011, n=1,500,
United States, United Kingdom, Singapore; Base: United States, n=500
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18. Looking Ahead ‐
Tomorrow’s
Opportuni,es
“The adop*on of commerce on the mobile is
much quicker than people had an*cipated.”
‐ Shaun Gregory,
O2 Media
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33. THANK YOU
Mar0n Lange, mar0n.lange@ogilvy.com, @macaccess,
#MobileatOgilvy
32
Mobile@Ogilvy
Notas del editor
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OVERHEARD YESTERDAY: THE CONSUMERS ARE DEMANDING&#x2026;REALLY?\n\nWhat we are generally seeing, is that consumers cannot articulate what future technologies they would use for one task or another. They are in general quite happy, if not OVERWHELMED with the multitude of tools at their hands just now. \n\nWHAT DRIVES INVENTION/INNOIVATION?\n
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HIGH DROP OFF RATES\n
Key Questions:\nLEARNED BEHAVIOR OR TRUE BEHAVIOR CHANGE?\nTRUE UTILITY IN EVERYDAY LIFE\nEASY TO LEARN/UNDERSTAND?\nSPEAK TO MY VERY HUMAN NEEDS (RECOGNITION, SOCIAL, INFORMATION&#x2026;)\nTRUST\n\nSuccess:\nMaps, Yelp, TripIt, \n\n\nIn Crossing the Chasm (1991), Moore begins with the diffusion of innovations theory from Everett Rogers, and argues there is a chasm between the early adopters of the product (the technology enthusiasts and visionaries) and the early majority (the pragmatists). Moore believes visionaries and pragmatists have very different expectations, and he attempts to explore those differences and suggest techniques to successfully cross the "chasm," including choosing a target market, understanding the whole product concept, positioning the product, building a marketing strategy, choosing the most appropriate distribution channel and pricing.Technology adoption life cycle.Crossing the Chasm is closely related to the technology adoption lifecycle where five main segments are recognized; innovators, early adopters, early majority, late majority and laggards. According to Moore, the marketer should focus on one group of customers at a time, using each group as a base for marketing to the next group. The most difficult step is making the transition between visionaries (early adopters) and pragmatists (early majority). This is the chasm that he refers to. If a successful firm can create a bandwagon effect in which enough momentum builds, then the product becomes a de facto standard. However, Moore's theories are only applicable for disruptive or discontinuous innovations. Adoption of continuous innovations (that do not force a significant change of behavior by the customer) are still best described by the original technology adoption lifecycle. Confusion between continuous and discontinuous innovation is a leading cause of failure for high tech products\n
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Another truth: Retail is all about Location, Location, Location\n\nPHYSICAL AND VIRTUAL, ADDING A SECOND POS\n&#xA0;&#xA0;\nBut today, location is both physical, as well as virtual. So the truth has not changed, one just has to have prime real estate in both worlds. This also means, that the POS has lost some (not all) of its power in influencing decision making, as the journey is extending to pre and post purchase decision making and decision justification.\n
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MULTIPLE TOUCHPOINTS, \nANYTIME, AT ANY LOCATION\nMULTIPLE INFLUECER\nCHANCE TO CHANGE PRESUMTPION ALONG THE WAY, \nUNDERSTAND POST-PURCHASE BEHAVIOR\n&#xA0;\nNOT JUST FOCUS ON PRODUCT AND PRICE, BUT ON SERVICE AND INFORMATION\n\n\nFor brands it is important to understand, where the decision for a particular product is made. Through technology we see pre-decision making actually happening at home. It is one of the key questions for a lot of brands, how this decision can either be carried over to the POS, or (if you were not the lucky brand) how top change a mindset on the way to the POS or at the POS. This in very rare cases will end up in an execution for a particular brand (e.g. a branded app), but in an execution against an understanding of the touchpoints along the journey to the POS.\n
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Half a billion check-ins in the past 12 months&#xA0;on Foursquare alone\n
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ALL LINKED TOGETHER BY DATA, THROUGH A SINGLE DEVICE\n\n[EXAMPLE: O2 Media Starbucks, Geo Fencing 1800 Starbucks Stores, Location and personal data, 50p off, 23% redemption rate]\n\n\nThe cell phone basically is the &#x201C;one location&#x201D;, where data about an individual, their preferences, the past behavior, their social patterns and their location all come together. It also is the place where in the future those bonus points get collected [EXAMPLE?]. It is the ultimate database that everybody would love to tap into. Because combining this data in an intelligent sense allows you to understand and anticipate context (store) and intent (shopper) to the best extend. Predictive targeting that does not feel intrusive is the ultimate achievement. \n[EXAMPLE: O2 Media Starbucks, Geo Fencing 1800 Starbucks Stores, Location and personal data, 50p off, 23% redemption rate]\n